Manchanda, Kaustubh ; Yadav, Avinash Chand ; Ramaswamy, Ramakrishna (2013) Scaling behavior in probabilistic neuronal cellular automata Physical Review E - Statistical, Nonlinear and Soft Matter Physics, 87 (1). Article ID 012704. ISSN 1539-3755
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Official URL: http://journals.aps.org/pre/abstract/10.1103/PhysR...
Related URL: http://dx.doi.org/10.1103/PhysRevE.87.012704
Abstract
We study a neural network model of interacting stochastic discrete two-state cellular automata on a regular lattice. The system is externally tuned to a critical point which varies with the degree of stochasticity (or the effective temperature). There are avalanches of neuronal activity, namely, spatially and temporally contiguous sites of activity; a detailed numerical study of these activity avalanches is presented, and single, joint, and marginal probability distributions are computed. At the critical point, we find that the scaling exponents for the variables are in good agreement with a mean-field theory.
Item Type: | Article |
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Source: | Copyright of this article belongs to The American Physical Society. |
ID Code: | 98812 |
Deposited On: | 14 May 2015 06:48 |
Last Modified: | 14 May 2015 06:48 |
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